Towards new framework for modelling project selection in crowdfunding platforms

LAMRANI ALAOUI, Youssef, EL FAKIR, Adil and TKIOUAT, Mohamed (2022). Towards new framework for modelling project selection in crowdfunding platforms. In: Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) (pp.713-720). Advances in Intelligent Systems and Computing (1418). Springer, 713-720.

[img]
Preview
PDF
Paper 302.pdf - Accepted Version
All rights reserved.

Download (463kB) | Preview
Official URL: https://link.springer.com/chapter/10.1007/978-3-03...
Link to published version:: https://doi.org/10.1007/978-3-030-90639-9_59
Related URLs:

    Abstract

    Crowdfunding is a form of public funding via the internet to the entrepreneurs. The crowdfunding covers various models that range from simple donations to risky investments. The aim of this paper is to introduce a new framework for modeling project selection in crowdfunding platform using two artificial intelligence approaches: fuzzy logic and agent-based simulation. We propose a new model based on both donation and interest-free lending and we compare its performance with a pure donation.

    Item Type: Book Section
    Additional Information: Electronic ISSN: 2194-5365 Print ISSN: 2194-5357
    Identification Number: https://doi.org/10.1007/978-3-030-90639-9_59
    Page Range: 713-720
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 17 Feb 2022 16:02
    Last Modified: 01 Jan 2023 01:18
    URI: https://shura.shu.ac.uk/id/eprint/29764

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics